Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B71257339014D82A4EEB958CF7C0E64C61AAC306FB3189D6A1E4916F6BC4DF4997137C |
|
CONTENT
ssdeep
|
192:KH3JkYcGcC2kBQlkSNL/6bSIl4k+fMmUU8VCoI:ucGcCttyL/6eIl4k+fMmUFCoI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cdcc749c9cc0 |
|
VISUAL
aHash
|
c7c78787e7ffffff |
|
VISUAL
dHash
|
1c0c0c0d0d0c0008 |
|
VISUAL
wHash
|
8787878784c4cdcc |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1c0c0c0d0d0c0008 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 3 techniques to evade detection by security scanners and make reverse engineering more difficult.